A Comparison of Two Mathematical Modeling Frameworks for Evaluating Sexually Transmitted Infection Epidemiology-Reference-Cited by-同舟云学术

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A Comparison of Two Mathematical Modeling Frameworks for Evaluating Sexually Transmitted Infection Epidemiology

Published:2016-03 Issue:3 Volume:43 Page:139-146
ISSN:0148-5717
Container-title:Sexually Transmitted Diseases
language:en
Short-container-title:Sexually Transmitted Diseases

Author:

Johnson Leigh F.,Geffen Nathan

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Infectious Diseases,Microbiology (medical),Public Health, Environmental and Occupational Health,Dermatology

Reference39 articles.

1. Transmission of Chlamydia trachomatis through sexual partnerships: a comparison between three individual-based models and empirical data

2. HIV Treatment as Prevention: Systematic Comparison of Mathematical Models of the Potential Impact of Antiretroviral Therapy on HIV Incidence in South Africa

3. Elimination of HIV in South Africa through Expanded Access to Antiretroviral Therapy: A Model Comparison Study

4. The Role of Reinfection and Partner Notification in the Efficacy of Chlamydia Screening Programs

5. Understanding differences in predictions of HPV vaccine effectiveness: A comparative model-based analysis

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1. Dynamics of Neisseria gonorrhoeae transmission among female sex workers and clients: A mathematical modeling study;Epidemics;2024-09

2. Potential impact of curative and preventive interventions toward hepatitis C elimination in people who inject drugs–A network modeling study;International Journal of Drug Policy;2024-08

3. Understanding dynamics and overlapping epidemiologies of HIV, HSV-2, chlamydia, gonorrhea, and syphilis in sexual networks of men who have sex with men;Frontiers in Public Health;2024-04-02

4. New HIV Infections Among Key Populations and Their Partners in 2010 and 2022, by World Region: A Multisources Estimation;JAIDS Journal of Acquired Immune Deficiency Syndromes;2024-01-01

5. Impact of a potential Chlamydia vaccine in the USA: mathematical modelling analyses;BMJ Public Health;2024-01

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